---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- CultriX/SeQwence-14Bv2
- CultriX/Qwestion-14B
- CultriX/SeQwence-14Bv1
model-index:
- name: SeQwence-14Bv3
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 57.19
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 46.39
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 22.13
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 15.32
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 17.27
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 48.17
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv3
      name: Open LLM Leaderboard
---
# final_model

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1) as a base.

### Models Merged

The following models were included in the merge:
* [CultriX/SeQwence-14Bv2](https://huggingface.co/CultriX/SeQwence-14Bv2)
* [CultriX/Qwestion-14B](https://huggingface.co/CultriX/Qwestion-14B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: CultriX/SeQwence-14Bv1
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 8]
    model: CultriX/SeQwence-14Bv1
    parameters:
      density: 1.0
      weight: 0.34927958017496047
  - layer_range: [0, 8]
    model: CultriX/Qwestion-14B
    parameters:
      density: 1.0
      weight: 0.4785529567298472
  - layer_range: [0, 8]
    model: CultriX/SeQwence-14Bv2
    parameters:
      density: 0.9095619834430182
      weight: 0.08292400341270245
- sources:
  - layer_range: [8, 16]
    model: CultriX/SeQwence-14Bv1
    parameters:
      density: 1.0
      weight: 0.31847489577754107
  - layer_range: [8, 16]
    model: CultriX/Qwestion-14B
    parameters:
      density: 1.0
      weight: 0.34008726542768253
  - layer_range: [8, 16]
    model: CultriX/SeQwence-14Bv2
    parameters:
      density: 1.0
      weight: -0.010187285487908426
- sources:
  - layer_range: [16, 24]
    model: CultriX/SeQwence-14Bv1
    parameters:
      density: 1.0
      weight: 0.1562216100470764
  - layer_range: [16, 24]
    model: CultriX/Qwestion-14B
    parameters:
      density: 1.0
      weight: 0.31090250951964327
  - layer_range: [16, 24]
    model: CultriX/SeQwence-14Bv2
    parameters:
      density: 0.8226944254037076
      weight: 0.4055505847346826
- sources:
  - layer_range: [24, 32]
    model: CultriX/SeQwence-14Bv1
    parameters:
      density: 1.0
      weight: 0.1478643123383346
  - layer_range: [24, 32]
    model: CultriX/Qwestion-14B
    parameters:
      density: 0.8233564236912981
      weight: 0.34508971280776113
  - layer_range: [24, 32]
    model: CultriX/SeQwence-14Bv2
    parameters:
      density: 1.0
      weight: 0.47963393901209633
- sources:
  - layer_range: [32, 40]
    model: CultriX/SeQwence-14Bv1
    parameters:
      density: 0.9078052860602195
      weight: 0.5051482718423455
  - layer_range: [32, 40]
    model: CultriX/Qwestion-14B
    parameters:
      density: 1.0
      weight: 0.21938011111527006
  - layer_range: [32, 40]
    model: CultriX/SeQwence-14Bv2
    parameters:
      density: 0.9287247232625168
      weight: 0.12414619742696054
- sources:
  - layer_range: [40, 48]
    model: CultriX/SeQwence-14Bv1
    parameters:
      density: 1.0
      weight: 0.1932759286778445
  - layer_range: [40, 48]
    model: CultriX/Qwestion-14B
    parameters:
      density: 0.9846832888894079
      weight: 0.572903756192807
  - layer_range: [40, 48]
    model: CultriX/SeQwence-14Bv2
    parameters:
      density: 1.0
      weight: 0.33759567132306584
```

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_CultriX__SeQwence-14Bv3)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |34.41|
|IFEval (0-Shot)    |57.19|
|BBH (3-Shot)       |46.39|
|MATH Lvl 5 (4-Shot)|22.13|
|GPQA (0-shot)      |15.32|
|MuSR (0-shot)      |17.27|
|MMLU-PRO (5-shot)  |48.17|